Edmar Rezende
About
In The Last Decade
Edmar Rezende
8 papers receiving 478 citations
Peers
Comparison fields: 5 of 93
- Computer Vision and Pattern Recognition 209
- Radiology, Nuclear Medicine and Imaging 138
- Artificial Intelligence 130
- Signal Processing 86
- Computer Networks and Communications 67
Countries citing papers authored by Edmar Rezende
This map shows the geographic impact of Edmar Rezende's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Edmar Rezende with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Edmar Rezende more than expected).
Fields of papers citing papers by Edmar Rezende
This network shows the impact of papers produced by Edmar Rezende. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Edmar Rezende. The network helps show where Edmar Rezende may publish in the future.
Co-authorship network of co-authors of Edmar Rezende
This figure shows the co-authorship network connecting the top 25 collaborators of Edmar Rezende. A scholar is included among the top collaborators of Edmar Rezende based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Edmar Rezende. Edmar Rezende is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 101 | |
| 3 | 23 | |
| 4 | 46 | |
| 5 | 47 | |
| 6 | 71 | |
| 7 | 185 | |
| 8 | 23 |
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.